On the Number of Non-equivalent Ancestral Configurations for Matching Gene Trees and Species Trees.
Ancestral configurations
Combinatorics
Gene trees and species trees
Phylogenetics
Journal
Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
received:
15
03
2017
accepted:
31
08
2017
pubmed:
16
9
2017
medline:
7
2
2020
entrez:
16
9
2017
Statut:
ppublish
Résumé
An ancestral configuration is one of the combinatorially distinct sets of gene lineages that, for a given gene tree, can reach a given node of a specified species tree. Ancestral configurations have appeared in recursive algebraic computations of the conditional probability that a gene tree topology is produced under the multispecies coalescent model for a given species tree. For matching gene trees and species trees, we study the number of ancestral configurations, considered up to an equivalence relation introduced by Wu (Evolution 66:763-775, 2012) to reduce the complexity of the recursive probability computation. We examine the largest number of non-equivalent ancestral configurations possible for a given tree size n. Whereas the smallest number of non-equivalent ancestral configurations increases polynomially with n, we show that the largest number increases with [Formula: see text], where k is a constant that satisfies [Formula: see text]. Under a uniform distribution on the set of binary labeled trees with a given size n, the mean number of non-equivalent ancestral configurations grows exponentially with n. The results refine an earlier analysis of the number of ancestral configurations considered without applying the equivalence relation, showing that use of the equivalence relation does not alter the exponential nature of the increase with tree size.
Identifiants
pubmed: 28913585
doi: 10.1007/s11538-017-0342-x
pii: 10.1007/s11538-017-0342-x
pmc: PMC5851864
mid: NIHMS906480
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
384-407Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM117590
Pays : United States
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